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Wright State University

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Articles 1291 - 1320 of 2694

Full-Text Articles in Computer Sciences

“Best K”: Critical Clustering Structures In Categorical Datasets, Keke Chen, Ling Liu Jul 2009

“Best K”: Critical Clustering Structures In Categorical Datasets, Keke Chen, Ling Liu

Kno.e.sis Publications

The demand on cluster analysis for categorical data continues to grow over the last decade. A well-known problem in categorical clustering is to determine the best K number of clusters. Although several categorical clustering algorithms have been developed, surprisingly, none has satisfactorily addressed the problem of best K for categorical clustering. Since categorical data does not have an inherent distance function as the similarity measure, traditional cluster validation techniques based on geometric shapes and density distributions are not appropriate for categorical data. In this paper, we study the entropy property between the clustering results of categorical data with different K …

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Tableau Algorithm For Concept Satisfiability In Description Logic Alch, Satya S. Sahoo, Krishnaprasad Thirunarayan Jul 2009

Tableau Algorithm For Concept Satisfiability In Description Logic Alch, Satya S. Sahoo, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The provenir ontology is an upper-level ontology to facilitate interoperability of provenance information in scientific applications. The description logic (DL) expressivity of provenir ontology is ALCH, that is, it models role hierarchies (H) (without transitive roles and inverse roles). Even though the complexity results for concept satisfiability for numerous variants of DL such as ALC with transitively closed roles (ALCR+ also called S), inverse roles SI, and role hierarchy SHI have been well-established, similar results for ALCH has been surprisingly missing from the literature. Here, we show that the complexity of the concept satisfiability problem for the ALCH variant …

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Cs 470/670: System Simulation, Mateen M. Rizki Jul 2009

Cs 470/670: System Simulation, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 241: Computer Programming Ii, Travis E. Doom Jul 2009

Cs 241: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.

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Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan Jul 2009

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., Scheme) . The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java 5 and in Scheme.

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Cs 701: Database Systems And Design I, Guozhu Dong Jul 2009

Cs 701: Database Systems And Design I, Guozhu Dong

Computer Science & Engineering Syllabi

An introduction to database design, database system implementation issues and techniques, and advanced data models and concepts.

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Cs 765: Foundations Of Neurocomputation, John C. Gallagher Jul 2009

Cs 765: Foundations Of Neurocomputation, John C. Gallagher

Computer Science & Engineering Syllabi

This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.

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Cs 205: Introduction To Computers And Office Productivity Software, Karen Meyer Jul 2009

Cs 205: Introduction To Computers And Office Productivity Software, Karen Meyer

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

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Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor Jul 2009

Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours. The course includes a scheduled laboratory section for which you must register.

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Ceg 720-01: Computer Architecture, Jack Jean Jul 2009

Ceg 720-01: Computer Architecture, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 433-01: Operating Systems, Sarah Gothard Jul 2009

Ceg 433-01: Operating Systems, Sarah Gothard

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 403/603-01: Personal Area Networks, Yong Pei Jul 2009

Ceg 403/603-01: Personal Area Networks, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

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Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti Jul 2009

Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti

Computer Science & Engineering Syllabi

Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary-semaphores, and distributed termination. Example languages: SR, Linda.

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Cs 205-01: Introduction To Computers And Office Productivity Software 2007, M. K. Reynolds Jul 2009

Cs 205-01: Introduction To Computers And Office Productivity Software 2007, M. K. Reynolds

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, databases, and presentation graphics using a case-study approach where critical thinking and problem-solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in
business are discussed to challenge students on societal impact of technology.

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Cs 240: Introduction To Computer Science I, Vanessa Starkey Jul 2009

Cs 240: Introduction To Computer Science I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced.
Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

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Ontology Supported Knowledge Discovery In The Field Of Human Performance And Cognition, Christopher Thomas, Pablo N. Mendes, Delroy H. Cameron, Amit P. Sheth, Krishnaprasad Thirunarayan, Cartic Ramakrishnan Jun 2009

Ontology Supported Knowledge Discovery In The Field Of Human Performance And Cognition, Christopher Thomas, Pablo N. Mendes, Delroy H. Cameron, Amit P. Sheth, Krishnaprasad Thirunarayan, Cartic Ramakrishnan

Kno.e.sis Publications

No abstract provided.

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Analysis And Monetization Of Social Data, Amit P. Sheth Jun 2009

Analysis And Monetization Of Social Data, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

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Extending Sparql To Support Spatially And Temporally Related Information, Prateek Jain, Amit P. Sheth, Peter Z. Yeh, Kunal Verma Jun 2009

Extending Sparql To Support Spatially And Temporally Related Information, Prateek Jain, Amit P. Sheth, Peter Z. Yeh, Kunal Verma

Kno.e.sis Publications

No abstract provided.

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Trykipedia: Collaborative Bio-Ontology Development Using Wiki Environment, Pramod Anantharam, Satya S. Sahoo, Brent Weatherly, Flora Logan, Raghava Mutharaju, Amit P. Sheth, Rick L. Tarleton Jun 2009

Trykipedia: Collaborative Bio-Ontology Development Using Wiki Environment, Pramod Anantharam, Satya S. Sahoo, Brent Weatherly, Flora Logan, Raghava Mutharaju, Amit P. Sheth, Rick L. Tarleton

Kno.e.sis Publications

Biomedical ontology development is an intensely collaborative process between biology experts and computer scientists. With the proliferation of ontology based approach to solve informatics problems in biological domain, there is a need for collaborative environment that is intuitive and widely accepted for modeling the ontology.

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Reconstruction Of The Upper Torso Using X-Ray Imagery, Thomas Wischgoll, Christopher Koehler Jun 2009

Reconstruction Of The Upper Torso Using X-Ray Imagery, Thomas Wischgoll, Christopher Koehler

Computer Science and Engineering Faculty Publications

No abstract provided.

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An Ontological Representation Of Time Series Observations On The Semantic Sensor Web, Cory Andrew Henson, Holger Neuhaus, Amit P. Sheth, Krishnaprasad Thirunarayan, Rajkumar Buyya Jun 2009

An Ontological Representation Of Time Series Observations On The Semantic Sensor Web, Cory Andrew Henson, Holger Neuhaus, Amit P. Sheth, Krishnaprasad Thirunarayan, Rajkumar Buyya

Kno.e.sis Publications

Time series observations are a common method of collecting sensor data. The Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) provides a standard representation for time series observations within the Observations and Measurements language, and therefore is in heavy use on the Sensor Web. By providing a common model, Observations and Measurements (O&M) facilitates syntax-level integration, but lacks the ability to facilitate semantic-level integration. This inability can cause problems with interoperability between disparate sensor networks that may have subtle variations in their sensing methods. An ontological representation of time series observations could provide a more expressive model and resolve problems …

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Situation Awareness Via Abductive Reasoning For Semantic Sensor Data: A Preliminary Report, Krishnaprasad Thirunarayan, Cory Andrew Henson, Amit P. Sheth May 2009

Situation Awareness Via Abductive Reasoning For Semantic Sensor Data: A Preliminary Report, Krishnaprasad Thirunarayan, Cory Andrew Henson, Amit P. Sheth

Kno.e.sis Publications

Semantic sensor Web enhances raw sensor data with spatial, temporal, and thematic annotations to enable high-level reasoning. In this paper, we explore how abductive reasoning framework can benefit formalization and interpretation of sensor data to garner situation awareness. Specifically, we show how abductive logic programming techniques, in conjunction with symbolic knowledge rules, can be used to detect inconsistent sensor data and to generate human accessible description of the state of the world from consistent subset of the sensor data. We also show how trust/belief information can be incorporated into the interpreter to enhance reliability. For concreteness, we formalize weather domain …

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Semsos: Semantic Sensor Observation Service, Cory Andrew Henson, Josh Pschorr, Amit P. Sheth, Krishnaprasad Thirunarayan May 2009

Semsos: Semantic Sensor Observation Service, Cory Andrew Henson, Josh Pschorr, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

Sensor observation service (SOS) is a Web service specification defined by the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) group in order to standardize the way sensors and sensor data are discovered and accessed on the Web. This standard goes a long way in providing interoperability between repositories of heterogeneous sensor data and applications that use this data. Many of these applications, however, are ill equipped at handling raw sensor data as provided by SOS and require actionable knowledge of the environment in order to be practically useful. There are two approaches to deal with this obstacle, make the …

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Ceg 320/520-01: Computer Organization, Michael L. Raymer Apr 2009

Ceg 320/520-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 209-01: Computer Programming For Business Ii, David M. Hutchison Apr 2009

Cs 209-01: Computer Programming For Business Ii, David M. Hutchison

Computer Science & Engineering Syllabi

cs 209 is the second in a sequence of two programming classes required for MIS majors. This course will continue teaching students to the basic concepts of programming. Examples are from business applications and emphasis is on problem solving with the computer as a tool.

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Cs 776: Functional Programming, Krishnaprasad Thirunarayan Apr 2009

Cs 776: Functional Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will discuss important concepts of functional programming such as recursive definitions, higher-order functions, type inference, polymorphism, abstract data types, modules etc. The programming exercises will illustrate the utility of list-processing, pattern matching, abstraction of data/control, strong typing, and parameterized modules (functors). We also study the mathematical reasoning involved in the design of functional programs and techniques for proving properties about functions so defined.

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Cs 784: Programming Languages, Krishnaprasad Thirunarayan Apr 2009

Cs 784: Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.

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Cs 205: Computer Literacy And Office Automation, Ann Tirpack Apr 2009

Cs 205: Computer Literacy And Office Automation, Ann Tirpack

Computer Science & Engineering Syllabi

No abstract provided.

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Cs 801: Advanced Database Systems, Soon M. Chung Apr 2009

Cs 801: Advanced Database Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of current trends and research issues in database systems.

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Cs 240: Computer Programming I, Vanessa Starkey Apr 2009

Cs 240: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced.
Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

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